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MSFT Possible buy ideaMicrosoft, technology services giant, is making a perfect long entry possibility on its weekly chart. What to have on mind when watching the stock: 1. On Daily time frame, we had a perfect 50EMA retest. Stock managed to retake it and to even break above the smaller moving averages, the 10 and 21EMA. 2. This time frame is giving us a broad stop loss opportunity, once we enter the stock. To be precise, once the break of previous highs happen, my stop loss will be around the Daily 50EMA level, which is around $416.5 at the moment. 3. Back to weekly time frame and our entry point, my first entry would be once the price enters the Weekly channel, or it's previous high zone, sitting at around $430 price level. I will be monitoring the price and trading volume once this happens, I would like to see larger than usual trading volume. 4. My second entry and adding to the position, of course, if the break happens, will occur once the price crosses the $435.7 price level, which is just above the highest point on which the price of MSFT went. Of course, this is just my opinion. I will try to give my best to update the idea as it develops. Thanks for liking and following me!
NASDAQ:MSFTLong
by De_Banis
Intel Corporation | INTCIntel reported second quarter earnings on Thursday, showing a return to profitability after two straight quarters of losses and issuing a stronger-than-expected forecast. the stock rose 7% in extended trading. Here’s how Intel did versus Refinitiv consensus expectations for the quarter ended July 1: Earnings per share: 13 cents, adjusted, versus a loss of 3 cents expected by Refinitiv. Revenue: $12.9 billion, versus $12.13 billion expected by Refinitiv. For the third quarter, Intel expects earnings of 20 cents per share, adjusted, on revenue of $13.4 billion at the midpoint, versus analyst expectations of 16 cents per share on $13.23 billion in sales. Intel posted net income of $1.5 billion, or 35 cents per share, versus a net loss of $454 million, or a loss of 11 cents per share, in the same quarter last year. Revenue fell 15% to $12.9 billion from $15.3 billion a year ago, marking the sixth consecutive quarter of declining sales. Intel CEO Pat Gelsinger said on a call with analysts the company still sees “persistent weakness” in all segments of its business through year-end, and that server chip sales won’t recover until the fourth quarter. He also said that cloud companies were focusing more on securing graphics processors for artificial intelligence instead of Intel’s central processors. David Zinsner, Intel’s finance chief, said in a statement that part of the reason the report was stronger than expected was because of the progress the company has made toward slashing $3 billion in costs this year. Earlier this year, Intel slashed its dividend and announced plans to save $10 billion per year by 2025, including through layoffs. “We have now exited nine lines of business since Gelsinger rejoined the company, with a combined annual savings of more than $1.7 billion,” said Zinsner. Revenue in Intel’s Client Computing group, which includes the company’s laptop and desktop processor shipments, fell 12% to $6.8 billion. The overall PC market has been slumping for over a year. Intel’s server chip division, which is reported as Data Center and AI, saw sales decline 15% to $4 billion plus Intel’s Network and Edge division, which sells networking products for telecommunications, recorded a 38% decline in revenue to $1.4 billion.moreover Mobileye, a publicly traded Intel subsidiary focusing on self-driving cars, saw sales slip 1% on an annual basis to $454 million and Intel Foundry Services, the business that makes chips for other companies, reported $232 million in revenue. Intel’s gross margin was nearly 40% on an adjusted basis, topping the company’s previous forecast of 37.5%. Investors want to see gross margins expand even as the company invests heavily in manufacturing capability. In the first quarter, the company posted its largest loss ever as the PC and server markets slumped and demand declined for its central processors. Intel’s results on Thursday beat the forecast that management gave for the second quarter at the time. Intel management has said the turnaround will take time and that the company is aiming to match TSMC’s chip-manufacturing prowess by 2026, which would enable it to bid to make the most advanced mobile processors for other companies, a strategy the company calls “five nodes in four years.” Intel said on Thursday that it remained on track to hit those goals. Nvidia has had an amazing run, but any emerging technology, such as AI, which is bottlenecked by a single company will have issues in growth. Consulting firm McKinsey has pegged the AI market to be worth $1 trillion by 2030, but also that it was in an experimental and in early phases of commercial deployment. While Nvidia will likely retain its leadership in GPU hardware as applied to AI for the foreseeable future, it is likely that other hardware solutions for AI systems will also be successful as AI matures. While technologist may quibble on specifics, all major AI hardware today are based on GPU architectures, and as such I will use the terms and concepts of AI hardware and GPU architecture somewhat interchangeably. One likely candidate for AI related growth may be AMD (AMD), which has had GPU products since acquiring ATI in 2006.However, unlike Nvidia, which had a clear vision for of general-purpose GPU products (GPGPU), historically, AMD had largely kept its focus on the traditional gaming applications. AMD has developed an AI architecture called XDNA, and an AI accelerator called Alveo and announced its MI300, an integrated chip with GPU acceleration for high-performance computing and machine learning. How AMD can and may evolve in the AI may be subject of a different article. Another contender for success in the AI applications using GPU is Intel, who is the focus of this article. Intel has maintained a consistent, if low key focus on GPU hardware focused on AI applications over the last decade. Intel’s integrated HD Graphics is built into most modern processor ICs; however, these are insufficient compared to dedicated GPUs for high-end inferencing or machine learning tasks. It has 2 primary GPU architectures in production release: In 2019 Intel Corporation acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately $2 billion. Habana Labs’ Gaudi AI product line from its inception focused on AI deep learning processor technologies, rather than as GPU that has been extended to AI applications. As a result, Gaudi microarchitecture was designed from the start for the acceleration of training and inferencing. In 2022 Intel announced Gaudi2 and Greco processors for AI deep learning applications, implemented in 7-nanometer (TSMC) technology and manufactured on Habana’s high-efficiency architecture. Habana Labs benchmarked Gaudi2’s training throughput performance for the ResNet-50 computer vision model and the BERT natural language processing model delivering twice the training throughput over the Nvidia high end A100-80GB GPU. So, Gaudi appears to give Intel a competitive chip for AI applications. Concurrent with the Habana Labs’ Gaudi development, Intel has internally developed the Xe GPU family, as dedicated graphics card to address high-end inferencing or machine learning tasks as well as more traditional high-end gaming. Iris® Xe GPU family consists of a series of microarchitectures, ranging from integrated/low power (Xe-LP) to enthusiast/high performance gaming (Xe-HPG), data center/AI (Xe-HP) and high-performance computing (Xe-HPC). The architecture has been commercialized in Intel® Data Center GPU Flex Series (formerly codenamed Arctic Sound) and Intel® Arc GPU cards. There is some question on Xe GPU future and evolution. Intel has shown less commitment to the traditional GPU space compared to Gaudi. Nonetheless, it does demonstrate Intel ability to design and field complex GPU products as its business requires. Intel has many other AI projects underway. The Sapphire Rapids chips implements AI specific acceleration blocks including technology called AMX (Advanced Matrix Extensions), which provides acceleration inside the CPU for efficient matrix multiplications used in on-chip inferencing and machine learning processing by speeding up data movement and compression. Intel has supporting technologies such as Optane, which while cancelled as a production line, is available for their needs of a high-performance non-volatile memory, one of the intrinsic components in any AI product. Based on the above, Intel appears to have competitive hardware solutions, however if we look at Nvidia success in AI, it is a result of a much a software and systems focus as it is the GPGPU hardware itself. Can Intel compete on that front. Ignoring for the moment that Intel has a huge software engineer (approx. 15,000) resource, it also has- access to one of the leading success stories in perhaps the most competitive AI application – self driving cars. Mobileye, who was acquired by Intel in 2017, has been an early adopter and leader, with over 20 years of experience in automotive automated driving and vision systems. As such, Mobileye has a deep resource of AI domain information that should be relevant to many applications. Mobileye has announced that it is working closely with Habana, as related divisions within Intel. While Intel is in the process of re-spinning out Mobileye as public company, Mobileye Global Inc. (MBLY), at present Intel still owns over 95% of shares, keeping it effectively an Intel division. In looking at Intel, we have a company with the history, resources, and technology to compete with Nvidia and infrastructure. They have made significant investment and commitment to the emerging AI market, in times when they have exited other profitable businesses. It should also be understood that AI related product are a small percentage of overall Intel revenues (INTC revenue are more than twice NVDA, even if NVDA has 6x its market cap), and continues to keep its primary business focus on its processor and foundry business. Hopefully for shareholders, Intel continues to push their AI technology and business efforts. Their current position is that this is strategic, but Intel is in a very fluid time and priorities may change based on business, finances, and of course the general interest and enthusiasm for AI. It is always worth noting that AI as a technical concept is mature, and appears to be cyclical, with interest in the technical community rising and falling in hype and interest once every decade or so. I remember working on AI applications, at the time labeled as expert systems in the 1980s. If we are currently at a high hype point, this may be temporary, based on near term success and disappointment in what AI does achieve. Of course, as always, “this time is different” and the building blocks of effective AI systems currently exist, where for previous iterations, it was more speculative.
NASDAQ:INTC
by moonypto
4
GE HealthCare | GEHCGE Healthcare aka GEHC is a renowned global medical technology, pharmaceutical diagnostics, and digital solutions company that aims to revolutionize healthcare by eliminating limits. With a diverse portfolio of innovative products, services, and solutions, GEHC empowers healthcare professionals to make informed decisions quickly and improve patient care across the entire healthcare continuum. This article delves into the key aspects of GE Healthcare, including its business segments, macro trends driving growth, management incentives, financial performance, competitors, and valuation. GE Healthcare operates in four business segments: Imaging, Ultrasound, Patient Care Solutions, and Pharmaceutical Diagnostics. These segments cater to healthcare providers and researchers worldwide, offering a wide range of products and solutions that enhance clinical decision-making and patient outcomes. The company's revenue streams come from the sale of medical devices, consumable products, services, and digital solutions. By focusing on customer-driven innovation, industry-leading service capabilities, and integrated digital solutions, GEHC continually improves the performance, quality, and customer experience of its offerings. GE Healthcare benefits from several macro trends that are shaping the healthcare industry. The growing adoption of precision health, fueled by advancements in genomics, personalized medicine, and targeted therapies, presents opportunities for GEHC to develop tailored solutions. The global precision medicine market is projected to reach $278.3 billion by 2027, with a CAGR of 10.5%. Additionally, the market for genomic testing is expected to reach $30.9 billion by 2027, growing at a CAGR of 14.7%. The digitization of healthcare through AI and machine learning enables the analysis of vast amounts of patient data for more accurate diagnoses and treatment decisions. The global healthcare artificial intelligence market is predicted to reach $31.3 billion by 2025, growing at a CAGR of 41.5%. Furthermore, increasing demand for healthcare services driven by demographic trends and improving access to healthcare in emerging markets further support GEHC's growth trajectory. With personalized medicine estimated to have a market value of $3,168.0 billion by 2027, GEHC is well positioned to leverage these trends and provide innovative solutions to meet the evolving needs of the healthcare industry (Sources: Grand View Research, Fortune Business Insights, Allied Market Research, MarketsandMarkets). GEHC CEO, Peter J. Arduini, has improved incentives in place to drive the company's performance. With an amended offer letter, Arduini's base salary increased to $1,250,000, accompanied by an annual target bonus of 150% of his base salary and an annual long-term incentive grant target of $11,875,000 starting in 2023. These incentives provide a strong motivation for Arduini to lead GEHC's growth and success, enhancing shareholder value. In 2022, GEHC reported total revenue of $18.34 billion, representing a favorable increase compared to the previous year. Although the profitability declined in the final quarter, the company's operating cash flow and adjusted EBIT margin showed positive trends. GEHC guided organic revenue growth of 5% to 7% for 2023, along with higher adjusted EBIT margin and EPS ranges. The company's commitment to achieving a free cash flow conversion target of 85% or more further reinforces its positive financial outlook. GEHC faces competition from prominent players in the medical technology industry, including Philips Healthcare, Draeger, Mindray, Masimo, and Baxter. In specific segments, GEHC competes with Siemens Healthineers, Canon, Fujifilm, Carestream, Hologic, and other companies. Despite competition, GEHC's comprehensive product portfolio, customer-focused approach, and commitment to innovation position it well in the market. GE Healthcare stands out from its competitors in the healthcare sector due to its robust portfolio of cutting-edge products and data-driven solutions. The company's commitment to innovation and advanced technologies enables it to offer unique offerings that address the evolving needs of the industry. One key area where GEHC excels is precision health. Leveraging advancements in genomics, personalized medicine, and targeted therapies, GEHC develops tailored solutions that provide precise and effective treatments for patients. For example, its innovative imaging technologies, such as magnetic resonance imaging (MRI) and computed tomography (CT), enable high-resolution visualization of anatomical structures, aiding in the accurate diagnosis and monitoring of various medical conditions. Moreover, GEHC is at the forefront of the digital revolution in healthcare. By harnessing the power of artificial intelligence (AI) and machine learning, GEHC's products analyze vast amounts of patient data to deliver more accurate diagnoses and treatment decisions. For instance, its AI-powered imaging software can detect and analyze anomalies in medical images, helping clinicians detect diseases at an early stage and enhance treatment outcomes. This data-driven approach not only improves patient care but also increases operational efficiency in healthcare facilities. GEHC's commitment to delivering innovative solutions is further reflected in its diverse product offerings. The company provides a wide range of medical devices, including ultrasound systems, patient monitors, anesthesia machines, and diagnostic imaging equipment. These products are designed to meet the unique needs of healthcare providers and patients, empowering clinicians to make informed decisions and improving patient outcomes. Based on a valuation analysis using trading multiples of similar companies, GEHC's value is estimated to range from $55 billion to $81 billion. Taking the midpoint of this range, the company's estimated enterprise value (EV) is $64 billion, suggesting a potential stock price of $125. This valuation indicates a significant upside potential of at least 66% within 18 to 24 months from the current price. With its strong market position, growth opportunities, and commitment to advancing healthcare, GEHC presents an attractive investment prospect. GE Healthcare is a leading global medical technology and digital solutions company with a clear mission to transform healthcare. With its diverse portfolio of products, services, and solutions, GEHC is well-positioned to capitalize on the growing demand for precision health, digitization, and improved access to healthcare. The company's financial performance, management incentives, and competitive landscape further support its growth potential. Considering the estimated valuation, GE Healthcare's stock price has the potential to increase significantly in the next 1.5 to 2 years, offering investors an opportunity for substantial returns.
NASDAQ:GEHCLong
by moonypto
SAIL - 50-70% ROI Potential with an RR of 1:3 - MidTermPotential1) Stock is in uptrend in Monthly , weekly. 2) The trendline that connects highs of 2007,2010,2021,2024 are about to be broken on the upside - Price confirmation indicates the same. 3) Weekly Price shows Morning star reversal. Note : This stock has not participated in the bull rally of 2023. Entry - Anywhere between 122-135. I see aggressive entries can be planned at 135. Targets - 151, 170, 190-200, 260 STOP LOSS - Would consider exit only if monthly closes below 108.
NSE:SAILLong
by Rugminik
3
BDL / Bharat Dynamics 35%+ in 1 week! Crazy ReturnsEverybody loves momentum. Why not? Momentum is the best friend of every trader. I always wanted to find and catch the beginning of a confirmed trend. It's unbelievable it is happening in real life. Education and skills acquisition is the key to continued growth in any field. This especially holds true in the highly risky terrain called Trading. A lot of stocks are in superb momentum and I am ready to catch them. God bless you and happy trading.
NSE:BDLLong
by ProfitsNinja
#DLINKINDIA is Near to Break Previous All Time High Company has reduced debt. Company is almost debt free. Company has delivered good profit growth of 28.0% CAGR over last 5 years Company has been maintaining a healthy dividend payout of 39.8% Strengths: Established market position and strong distribution network: D-Link is the market leader in switches and wireless local area network (WLAN) products, with a significant market share. In fiscal 2019, the company introduced a series of high-end products for its enterprise business, including unmanaged long-term power over ethernet (PoE)/PoE plus switches; new generation layer 3 stackable managed switches with advance hardware and software enhancements for better performance, flexibility and ease of management; and industrial grade switches. D-Link has invested in state-of-the-art support infrastructure for both consumers and enterprises, which includes 10 D-Link-owned service centres with more than 50 experts in tier 1 cities, over 23 partner service centres with more than 40 experts in tier 2 / tier 3 cities, partner collection points in more than 105 cities and logistical support in over 190 cities. D-Link Technical Support Centres (DTSC) are manned by over 30 highly skilled engineers providing L1 to L3 support for all retail and enterprise customers. Healthy financial risk profile: Networth was Rs 363 crore as on March 31, 2023, and is expected to increase over the medium term because of steady accretion to reserves and absence of debt repayment. Return on capital employed improved to 36% in fiscal 2023 as profitability increased. In the absence of any debt-funded capex, the financial risk profile is expected to remain healthy over the medium term. Weaknesses: Exposure to intense competition and risks inherent in the networking industry: D-Link mainly operates in the home and small and medium enterprise segments of the networking industry, where profitability is lower than that in the institutional sales segment. The latter is dominated by Cisco India and other new entrants. Profitability in the retail segment is constrained by intense competition and commoditised products. Susceptibility to volatility in input price and currency: Copper, the key input for manufacturing cables is an open market commodity traded globally on exchanges, leading to volatility in its prices. Furthermore, fluctuations in currency also impact profitability, as the company imports about 30% of its traded products. Complete and immediate passing on of cost increases is difficult given the competitive pressure. The company experiences lag of 45-60 days in passing on price hikes. Hence, the operating margin will remain susceptible to fluctuations in raw material prices and currency. D-Link hedges currency exposure up to 70% of the total exposure by entering forward contracts. Liquidity: Adequate Cash accrual, expected at Rs 65-75 crore in fiscals 2024 and 2025, will support liquidity in the absence of any capex or debt obligation. Unutilised bank limit of Rs 10 crore will be adequate to fund the company’s fixed expenses. Cash surplus is expected to remain healthy over the medium term.
NSE:DLINKINDIALong
by iism-ExpertTrading
Nifty Medium term and stocks iam buyingMarket broke the support at 22150 New medium term support at 21500 and 21250 as shown in the chart. Meanwhile as mentioned in the last week specific value stock iam accumulating based on q4 results whenever there is a dip, Plan to purchase in three four parcels. Icici bank Axis bank Manppuram Dr reddys Natco Bajaj Fin serv Bajaj Fin Icici sec Acc Biocon These stick are given for analysis purpose. Individual can review and purchase according to their requirement.
NSE:NIFTYShort
by karthikss
#ASIANENEGeographical Presence The company has presence in India, Iraq, Nigeria, Myanmar, Indonesia & UAE. Business Areas 1. Seismic Services - The co. is a leading service provider of 2D and 3D Seismic services with extensive industry experience of over 25 years. 2. Production Facility Construction - The company creates high quality onshore and offshore oil & gas production facilities for various clients. 3. Production Facility O&M - It has extensive experience and expertise in turnkey operation & maintenance (O&M) of onshore and offshore oil and gas facilities. 4. Energy Infrastructure - It has forayed into energy infrastructure segment like rapid loading and handling system of coal & minerals. It also got an order from Coal India Ltd in FY21 for construction of rapid loading and material handling system with O&M for 5 years. Client Base As in June 21, the company is undertaking projects and providing services to various clients i.e. Vedanta, ONGC, Oil India, Coal India, Oilmax Energy (promoter) and Amni International. Company is almost debt free. Company is expected to give good quarter Debtor days have improved from 224 to 163 days.
NSE:ASIANENELong
by iism-ExpertTrading
Discovering profitable stocks for intraday trading █ Discovering profitable stocks for intraday trading: Simplifying the BeSt System Intraday trading style capitalizes on the market's daily fluctuations to generate profits, appealing to traders seeking quick returns. However, the rapid pace and high associated volatility require precise decision-making and a deep understanding of market dynamics. For intraday traders, the key to success lies in predicting market movements and identifying stocks that offer the best potential for profit within a limited timeframe. The BeSt system , short for Best Stock Finder, is a pioneering approach that uses data analysis to pinpoint promising stocks for daily trades. This article explores how this system works and what it means for the everyday trader. The primary goal of this research is to unearth effective strategies for selecting stocks that are most likely profitable for intraday trading. The relevance of this study is particularly pronounced in the current market environment, characterized by heightened volatility and increased trading volumes. These conditions heighten the risks associated with intraday trading and open up new opportunities for savvy traders. █  Understanding the BeSt System At its core, the best system employs a sophisticated blend of regression and sequence mining techniques to analyze historical stock data. By examining patterns in stock price movements and predicting future trends, the system identifies stocks most likely to experience significant price changes within the same trading day. ⚪ How Does the BeSt System Work? Regression Techniques: These algorithms predict future price variations by analyzing historical price data. The stocks showing the highest potential for price fluctuations are highlighted as prime candidates for trading. Sequence Mining: This method goes beyond simple price predictions by looking for recurring sequences in stock performance. It identifies patterns indicating which stocks are likely to perform well, based on their historical sequence of returns. Weighted Sequences: By assigning different weights to stock occurrences based on their profitability, the system prioritizes stocks that have consistently shown higher returns following specific patterns. ⚪ Simplifying How the BeSt System Works Predicting Price Changes: At its heart, the system uses past stock price movements to forecast future activity. Imagine being able to predict a stock’s price rise before it happens—that’s what this system aims to do. Finding Patterns: Beyond predictions, the BeSt system looks for patterns in how stocks have performed over time, identifying which stocks are likely to do well together or in sequence. This helps in anticipating market movements. Prioritizing Profitable Stocks: Not all stocks are treated equally; the system prioritizes those that have historically provided better returns following certain patterns. █  Conclusion: For intraday traders, the BeSt system offers a promising tool that enhances profitability and provides a deeper understanding of market dynamics. Turning complex data into actionable trading insights represents a significant step forward in the quest for optimal trading strategies. As technology and data science continue to advance, the BeSt system is well-positioned to become an indispensable part of every trader's toolkit. █   Methodology ⚪ Regression Techniques These algorithms predict the value of continuous variables based on the analysis of historical data.The goal is to predict the daily percentage variation in the price of a stock on the next trading day by analyzing the historical prices of market stocks on the preceding days. Stocks with the maximal predicted variation are recommended as the most tradeable on the subsequent trading day. Data Preparation: The historical price data of various stocks are collected, focusing primarily on daily percentage variations in stock prices. Model Training: Regression algorithms are used to create predictive models. These models analyze the historical prices and try to forecast the price movements of the stocks for the next trading day. Stock Selection: Stocks predicted to have the highest percentage variation in their prices the next day are flagged as potential candidates for trading. This prediction is based on the regression model’s output, which calculates the expected price change from one day to the next. ⚪ Sequence Mining This involves the use of unsupervised data mining techniques to discover recurrent sequences of items in large datasets. In this context, items are stocks, and the time stamps correspond to the closures of consecutive trading days. A sequence is an ordered list of itemsets, where an itemset is a set of items occurring at a given time stamp. Given the best-performing stocks on past and current trading days, a sequence indicates that if an arbitrary set of stocks is in the top list on preceding days, a given stock is likely to occur in the top list on the next day. Weighted sequences, rather than traditional ones, are used to weigh differently the occurrences of different stocks on the same trading day according to their daily profits. Data Handling: The process starts with collecting historical stock data, particularly focusing on the closing prices across consecutive trading days. This data is then prepared into a sequence format where each sequence represents the ordered list of stock performances over multiple days. Mining Process: Using sequence mining algorithms, the system searches for common patterns or sequences in the stock data. These patterns reveal which stocks frequently perform well in sequence—meaning if certain stocks are performing well today, which stocks are likely to perform well tomorrow based on historical patterns. Weighted Sequences: To refine the selection, the concept of weighted sequences is applied. This approach gives different weights to the occurrences of stocks based on their profit performances on particular days. For example, if a stock consistently shows higher gains than others on specific days following certain trends, it will be weighted more heavily in the predictive model. Stock Recommendations: The system identifies sequences with the highest recurrence and profitability. Stocks appearing in these sequences are recommended for trading. These stocks are expected to perform well in the short term, aligning with intraday trading goals. █   Data Set Used The data set used for this study consisted of a broad range of stocks across various sectors, including technology, finance, and consumer goods. To ensure the reliability of the data, the study focused on stocks listed on major exchanges like the NYSE and NASDAQ. █   Key Findings High Profitability: The BeSt system outperforms traditional stock selection methods like Support Vector Machines, Linear Regression, and random selection strategies. The sequence-based strategies used by BeSt, in particular, have proven to yield higher profits, demonstrating the system's ability to effectively identify the most promising stocks for intraday trading. Effective Trend Capture: The system is highly adept at identifying underlying trends in stock price movements. This capability allows traders to make informed decisions based on a solid analysis of historical data, ensuring that trades align with the most likely future movements of the market. [* ]Scalability: The BeSt system can handle large datasets efficiently, making it suitable for analyzing the numerous stocks listed on major stock exchanges. This scalability is crucial for intraday traders who need to quickly sift through vast amounts of data to identify trading opportunities. Interpretability of Results: Unlike many other data-driven trading systems, the BeSt system provides interpretable results. This feature is particularly beneficial for traders who prefer to understand the logic behind the recommended trades. The system's transparency helps build trust and allows users to learn from the system's insights. █   Practical Applications Even if you don’t have access to the BeSt system itself, understanding its principles can improve how you approach trading: ⚪ Look for Patterns: Start tracking how certain stocks perform in relation to each other and over various days. You might begin to notice patterns that can guide your trading decisions. ⚪ Use Available Tools: Many trading platforms offer basic tools for analyzing stock trends and predicting movements. Use these to start making more informed decisions. █   Limitations While the findings of this study are valuable, they come with limitations that traders should consider. The study focused on large-cap stocks listed on major exchanges, which may not apply to smaller-cap stocks or those on less liquid markets. Additionally, the historical data may not fully account for the market's future conditions as market dynamics continually evolve. █  Reference Baralis, E., Cagliero, L., Cerquitelli, T., Garza, P., & Pulvirenti, F. (2017). Discovering profitable stocks for intraday trading. Information Sciences, 405, 91-106. ----------------- Disclaimer This is an educational study for entertainment purposes only. The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
NASDAQ:GOOGLEducation
by Zeiierman
5